09 December 2010

Final Exam, Due Dec 17, 3:30pm

Here's a copy of the final exam as well as the source LaTeX.  Please feel free to either print it and do it by hand, or to do it in LaTeX and print the solution.  You may turn it in any time between now and 3:30pm on Dec 17.  (Because our official exam time is 1:30-3:30 on Dec 17.)  Please hand it in in one of three ways: (1) give it to me in person in my office or otherwise; (2) slide it completely under my office door (AVW 3227); (3) give it to Amit in person.

If you have any clarification questions, please post them here.

14 comments:

  1. How about the submission procedure for the Final Project? Same deadlines?

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  2. I have several questions regarding Problems 2 and 3.

    (1) In Problem 2, do I need to describe how I do lemmatization? It's necessary (at least for what I have in mind) but not included in "the following resources".

    (2) Also in Problem 2, to what extent can I use the information from VerbNet? Say, can I use the frames?

    (3) In Problem 3, I don't think there is a link of the RST paper in the course web page.Is it Mann and Thompson's original work that you're talking about?

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  3. Can you elaborate a little more on problem 2? Are we to assume that all sentences have parses using the given parser, have 100% correct POS tagger output, and VerbNet will contain all verbs we are interested in (all words in corpus tagged as verb by POS tagger?)? Do we only care about the semantics (first order logic) given by VerbNet?

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  4. @Teo: Same deadline, but you can hand in online too.

    @ngU khO:
    (1) Nah, don't bother.
    (2) Yes, you can use the frames!
    (3) Yes, Mann + Thompson 1987; here's the link

    @Ben: Yes, you can assume that all the sentences have parses, but probably shouldn't assume they're all correct :). You probably shouldn't assume VerbNet has all the verbs you care about, but if you want to it's not the end of the world (i.e., I won't punish you too much).

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  5. what about words other than Verbs ?

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  6. @Anonymous: good question, what about them? :)

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  7. For Question 3, do we need to compute similarity values (cosine of two vectors), to find the segments?

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  8. @Anonymous: No, you don't need to (unless it helps you answer the question).

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  9. I'm confused about 'learning problem' in p2.
    Are we assuming that there are enough sentences without any additional information for training? And learned model should be able to parse a given sentence into first order predicate?

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  10. @Anonymous: yes, you have lots of plain sentences. And yes, you should be able to parse a reasonable number of sentences into a first order predicate.

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  11. for the 2nd question, when you say that we should use learning techniques learned in class, are you expecting something like perceptron/dt/...?

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  12. @Anonymous: yeah, that, structured perceptron, bootstrapping, ...

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  13. Final Project is due at Midnight but Final Exam is due at 3:30PM. Is it correct???Or can we submit Final Exam before Midnight?

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  14. @Anonymous: I need the exams by 3:30 so I can pace my grading :). I just found out that final grades are due Mon at midnight (egads!!!).

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